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Event-Triggered Sliding-Mode Control for a Discrete-Time Muscle-Driven Musculoskeletal System 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
作者:  Fan, Yerui;  Wu, Yaxiong;  Yuan, Jianbo;  Gao, Jie;  Qiao, Hong
收藏  |  浏览/下载：19/0  |  提交时间：2024/03/27
Musculoskeletal system  bio-inspired muscle model  discrete-time system  event-triggered control  sliding mode controller  
Observer-based event and self-triggered adaptive output feedback control of robotic manipulators 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 页码: 32
作者:  Gao, Jie;  He, Wei;  Qiao, Hong
收藏  |  浏览/下载：153/0  |  提交时间：2022/11/14
first-order filter  impulsive dynamical system  model-based event-triggered control  neural network  nonlinear uncertainty  observer estimation  robotic manipulator  
A novel event-triggered adaptive tracking control framework for a manipulator with aperiodic neural network estimation 期刊论文
Assembly Automation, 2022, 页码: 1-16
作者:  Gao jie
Adobe PDF(2045Kb)  |  收藏  |  浏览/下载：222/72  |  提交时间：2022/06/14
Tracking of Uncertain Robotic Manipulators Using Event-Triggered Model Predictive Control With Learning Terminal Cost 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 15
作者:  Kang, Erlong;  Qiao, Hong;  Chen, Ziyu;  Gao, Jie
Adobe PDF(4203Kb)  |  收藏  |  浏览/下载：399/152  |  提交时间：2022/06/06
Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics  
Adaptive model-based dynamic event-triggered output feedback control of a robotic manipulator with disturbance 期刊论文
ISATransactions, 2021, 页码: 64-78
作者:  Gao jie;  Kang Erlong;  He Wei;  Qiao hong
Adobe PDF(2719Kb)  |  收藏  |  浏览/下载：242/91  |  提交时间：2022/06/14
Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints 期刊论文
ISA TRANSACTIONS, 2021, 卷号: 109, 页码: 89-101
作者:  Kang, Erlong;  Qiao, Hong;  Gao, Jie;  Yang, Wenjing
Adobe PDF(942Kb)  |  收藏  |  浏览/下载：343/64  |  提交时间：2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints